Improving GANs Using Optimal Transport

Code

• github.com/Alexandre-Rio/ot_generative_models
  pytorch★ 9
• github.com/Slimane33/OTGAN
  pytorch★ 0

Abstract

We present Optimal Transport GAN (OT-GAN), a variant of generative adversarial nets minimizing a new metric measuring the distance between the generator distribution and the data distribution. This metric, which we call mini-batch energy distance, combines optimal transport in primal form with an energy distance defined in an adversarially learned feature space, resulting in a highly discriminative distance function with unbiased mini-batch gradients. Experimentally we show OT-GAN to be highly stable when trained with large mini-batches, and we present state-of-the-art results on several popular benchmark problems for image generation.

Tasks

Reproductions